Snapchat Dog filter using DLIB 

import cv2
import numpy as np
import dlib
from math import hypot

# Loading Camera and Nose image and Creating mask
cap = cv2.VideoCapture(0)
nose_image = cv2.imread("dognose.png")
_, frame = cap.read()
rows, cols, _ = frame.shape
nose_mask = np.zeros((rows, cols), np.uint8)

# Loading Face detector
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

while True:
    _, frame = cap.read()
    nose_mask.fill(0)
    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = detector(frame)
    for face in faces:
        landmarks = predictor(gray_frame, face)

        # Nose coordinates
        top_nose = (landmarks.part(29).x, landmarks.part(29).y)
        center_nose = (landmarks.part(30).x, landmarks.part(30).y)
        left_nose = (landmarks.part(31).x, landmarks.part(31).y)
        right_nose = (landmarks.part(35).x, landmarks.part(35).y)

        nose_width = int(hypot(left_nose[0] - right_nose[0],
                           left_nose[1] - right_nose[1]) * 4.3)
        nose_height = int(nose_width * 0.9)

        # New nose position
        top_left = (int(center_nose[0] - nose_width / 2),
                              int(center_nose[1] - nose_height / 2))
        bottom_right = (int(center_nose[0] + nose_width / 2),
                       int(center_nose[1] + nose_height / 2))


        # Adding the new nose
        nose_dog = cv2.resize(nose_image, (nose_width, nose_height))
        nose_dog_gray = cv2.cvtColor(nose_dog, cv2.COLOR_BGR2GRAY)
        _, nose_mask = cv2.threshold(nose_dog_gray, 25, 255, cv2.THRESH_BINARY_INV)

        nose_area = frame[top_left[1]: top_left[1] + nose_height,
                    top_left[0]: top_left[0] + nose_width]
        nose_area_no_nose = cv2.bitwise_and(nose_area, nose_area, mask=nose_mask)
        final_nose = cv2.add(nose_area_no_nose, nose_dog)

        frame[top_left[1]: top_left[1] + nose_height,
                    top_left[0]: top_left[0] + nose_width] = final_nose

#



    cv2.imshow("Frame", frame)



    key = cv2.waitKey(1)
    if key == 27:
        break

Output

Github : https://github.com/vinay010487/dlib_Snapchat